HKUST Corporate Prototyping Project
My team and I developed a yearly bond pricing and credit spread migration prediction dashboard for corporate banking and fixed-income related sponsors. I mainly spearheaded the front-end development but helped with some of the back-end work, achieving 2nd place in the competition.
Our dashboard was built on Next.js and Google Cloud. The prediction model was trained on historical bond data we sourced from Eikon Terminal and Yahoo Finance, leading to a yearly credit migration prediction accuracy of around 79.71% during backtesting.


TEMG4940C "T&M Prototyping and Research Project: AI for Bond Prediction"
This Summer, the students enrolled in TEMG 4940C "T&M Prototyping and Research Project: AI for Bond Prediction", were divided into 4 teams to develop prototypes of a bond portfolio management dashboard under the guidance of Prof. Betty Lin and two industry veterans including Mr. Angus Chan...
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